lama
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advimman
can this code run in the Windows system？
OK thanks a lot
------------------ 原始邮件 ------------------ 发件人: @.>; 发送时间: 2022年9月2日(星期五) 中午12:08 收件人: @.>; 抄送: @.>; @.>; 主题: Re: [saic-mdal/lama] can this code run in the Windows system？ (Issue #148)
i think it can, because somebody had put it on pyqt5 version
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It doesn't seem to work on Windows. When I entered the command 'conda env create -f conda_env.yml', I got this:
C:\Users\inhah\AppData\Roaming\Python\Python37\site-packages\requests_init_.py:89: RequestsDependencyWarning: urllib3 (1.26.11) or chardet (5.0.0) doesn't match a supported version! RequestsDependencyWarning) Collecting package metadata (repodata.json): done Solving environment: failed
ResolvePackageNotFound:
- jpeg==9b=h024ee3a_2
- expat==2.4.1=h2531618_2
- cryptography==3.4.7=py36hd23ed53_0
- fontconfig==2.13.1=h6c09931_0
- protobuf==3.17.2=py36h295c915_0
- lcms2==2.12=h3be6417_0
- libvpx==1.7.0=h439df22_0
- scikit-image==0.17.2=py36h284efc9_4
- libblas==3.9.0=11_linux64_mkl
- openh264==2.1.0=hd408876_0
- libgomp==9.3.0=h5101ec6_17
- pcre==8.45=h295c915_0
- tk==8.6.11=h1ccaba5_0
- pillow==8.3.1=py36h2c7a002_0
- mkl==2021.3.0=h06a4308_520
- aiohttp==3.7.4.post0=py36h7f8727e_2
- scikit-learn==0.24.2=py36ha9443f7_0
- setuptools==58.0.4=py36h06a4308_0
- _openmp_mutex==4.5=1_gnu
- ca-certificates==2021.7.5=h06a4308_1
- qt==5.9.7=h5867ecd_1
- markdown==3.3.4=py36h06a4308_0
- brotlipy==0.7.0=py36h27cfd23_1003
- openssl==1.1.1l=h7f8727e_0
- pandas==1.1.5=py36h284efc9_0
- idna_ssl==1.1.0=py36h06a4308_0
- matplotlib==3.3.4=py36h06a4308_0
- certifi==2021.5.30=py36h06a4308_0
- libxml2==2.9.12=h03d6c58_0
- libopus==1.3.1=h7b6447c_0
- gmp==6.2.1=h2531618_2
- blinker==1.4=py36h06a4308_0
- cudatoolkit==10.2.89=hfd86e86_1
- bzip2==1.0.8=h7b6447c_0
- c-ares==1.17.1=h27cfd23_0
- tabulate==0.8.9=py36h06a4308_0
- yaml==0.2.5=h7b6447c_0
- xz==5.2.5=h7b6447c_0
- libtasn1==4.16.0=h27cfd23_0
- importlib-metadata==4.8.1=py36h06a4308_0
- multidict==5.1.0=py36h27cfd23_2
- cffi==1.14.6=py36h400218f_0
- chardet==4.0.0=py36h06a4308_1003
- zlib==1.2.11=h7b6447c_3
- readline==8.1=h27cfd23_0
- libunistring==0.9.10=h27cfd23_0
- scipy==1.5.3=py36h9e8f40b_0
- pip==21.0.1=py36h06a4308_0
- libpng==1.6.37=hbc83047_0
- freetype==2.10.4=h5ab3b9f_0
- libgcc-ng==9.3.0=h5101ec6_17
- coverage==5.5=py36h27cfd23_2
- ninja==1.10.2=hff7bd54_1
- pysocks==1.7.1=py36h06a4308_0
- sip==4.19.8=py36hf484d3e_0
- yarl==1.6.3=py36h27cfd23_0
- libxcb==1.14=h7b6447c_0
- libuuid==1.0.3=h1bed415_2
- lame==3.100=h7b6447c_0
- openjpeg==2.4.0=h3ad879b_0
- libwebp-base==1.2.0=h27cfd23_0
- lz4-c==1.9.3=h295c915_1
- gst-plugins-base==1.14.0=h8213a91_2
- grpcio==1.36.1=py36h2157cd5_1
- absl-py==0.13.0=py36h06a4308_0
- liblapack==3.9.0=11_linux64_mkl
- libtiff==4.2.0=h85742a9_0
- pyjwt==2.1.0=py36h06a4308_0
- pyyaml==5.4.1=py36h27cfd23_1
- cytoolz==0.11.0=py36h7b6447c_0
- libuv==1.40.0=h7b6447c_0
- libidn2==2.3.2=h7f8727e_0
- zstd==1.4.9=haebb681_0
- tifffile==2020.10.1=py36hdd07704_2
- glib==2.69.1=h5202010_0
- python==3.6.13=h12debd9_1
- omegaconf==2.1.1=py36h5fab9bb_0
- numpy==1.19.5=py36hfc0c790_2
- libprotobuf==3.17.2=h4ff587b_1
- libstdcxx-ng==9.3.0=hd4cf53a_17
- gnutls==3.6.15=he1e5248_0
- nettle==3.7.3=hbbd107a_1
- sqlite==3.36.0=hc218d9a_0
- ncurses==6.2=he6710b0_1
- libffi==3.3=he6710b0_2
- intel-openmp==2021.3.0=h06a4308_3350
- ld_impl_linux-64==2.35.1=h7274673_9
- icu==58.2=he6710b0_3
- x264==1!157.20191217=h7b6447c_0
- libcblas==3.9.0=11_linux64_mkl
- pyqt==5.9.2=py36h05f1152_2
- libgfortran5==9.3.0=ha5ec8a7_17
- gstreamer==1.14.0=h28cd5cc_2
- dbus==1.13.18=hb2f20db_0
- matplotlib-base==3.3.4=py36h62a2d02_0
- cython==0.29.24=py36h295c915_0
- kiwisolver==1.3.1=py36h2531618_0
- libgfortran-ng==9.3.0=ha5ec8a7_17
- pywavelets==1.1.1=py36h7b6447c_2
- ffmpeg==4.2.2=h20bf706_0
- async-timeout==3.0.1=py36h06a4308_0
Maybe something else went wrong, I'm not sure.
I didn't try it outside of conda because installing pytorch never works for me outside of conda.
Hi @inhahe , It works on Windows. But as you mentioned creating conda environment using their yml file won't work.
You can create a normal conda environment using:
conda create -n lama_env python=3.9
conda activate lama_env
And then installing the following dependencies:
conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch -y
pip install pytorch-lightning==1.2.9
This worked for me!
Hi, @shahJaimin77 , I met some problems when calculating metrics on windows , did the evaluate_predicts.py work for on Windows?
I think the folks who built the env yml file need to remove the platform-specific build constraints as described in this article. https://stackoverflow.com/questions/55554431/conda-fails-to-create-environment-from-yml
Yes, if we are using their environment file, then this problem would occur because of the platform-specific build constraints. But its better we create our own env file and install the packages as mentioned above.
Hi, @shahJaimin77 , I met some problems when calculating metrics on windows , did the evaluate_predicts.py work for on Windows?
@liyiersan Sorry, but I haven't used the evaluate_predicts.py file
@shahJaimin77 , thanks for replying. how did you mange to install all the packages?
@naga-k
Install the dependencies using the following commands:
conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch -y
pip install pytorch-lightning==1.2.9